Publicado

2019-01-01

Hybrid model to design a distribution network in contract farming

Modelo hibrido para diseñar una red de distribución en la agricultura por contrato

DOI:

https://doi.org/10.15446/dyna.v86n208.72056

Palabras clave:

agriculture, logistic, optimization, simulation. (en)
agricultura, logistica, optimizacion, simulación. (es)

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Autores/as

This paper suggests a hybrid model to solve a distribution problem incorporating the impact of uncertainty in the solution. The model combines the deterministic approach and the simulation including stochastic variables such as harvest yield, loss risk and penalties/benefits to design a distribution network with the minimal cost. Through a case study that includes farmers, hubs and malt producers in the supplying chain of barley in Mexico, nine possible scenarios were analyzed to plan and distribute the harvested grain based on contract farming. This approach gets an optimal solution through an iterative process simulating the suggested solution by a mixed-integer linear programming model under uncertain conditions. The results show the convenience of maintaining the operation between four and five hubs depending on the possible scenario; besides, the variation of the levels of the barley producers’ capacities are key elements in the planning to minimize the distribution cost throughout the suggested chain
En este artículo se plantea un modelo hibrido para resolver un problema de distribución incorporando el impacto de la incertidumbre en la solución. El modelo combina el enfoque determinista y la simulación de eventos discretos incluyendo variables estocásticas como los rendimientos en la cosecha, siniestralidad y penalidades/bonificaciones para el diseño una red de distribución con el costo mínimo. Mediante un caso de estudio que incluye granjeros, hubs y procesadores de malta en la cadena de suministro de la cebada en México, se analizaron nueve posibles escenarios para la planeación de la distribución basado en la agricultura por contrato. Este enfoque obtiene una solución óptima simulando la solución propuesta por un modelo de programación lineal entera mixta bajo condiciones de incertidumbre. Los resultados muestran la conveniencia de mantener en operación entre cuatro a cinco hubs dependiendo del posible escenario, además la variación en los niveles de las capacidades de los procesadores de malta son elementos clave en la planeación para minimizar el costo de distribución a lo largo de la cadena propuesta.

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Cómo citar

IEEE

[1]
R. Granillo-Macias, I. J. Gonzalez Hernandez, J. L. Martinez-Flores, S. O. Caballero-Morales, y E. Olivarez-Benitez, «Hybrid model to design a distribution network in contract farming», DYNA, vol. 86, n.º 208, pp. 102–109, ene. 2019.

ACM

[1]
Granillo-Macias, R., Gonzalez Hernandez, I.J., Martinez-Flores, J.L., Caballero-Morales, S.O. y Olivarez-Benitez, E. 2019. Hybrid model to design a distribution network in contract farming. DYNA. 86, 208 (ene. 2019), 102–109. DOI:https://doi.org/10.15446/dyna.v86n208.72056.

ACS

(1)
Granillo-Macias, R.; Gonzalez Hernandez, I. J.; Martinez-Flores, J. L.; Caballero-Morales, S. O.; Olivarez-Benitez, E. Hybrid model to design a distribution network in contract farming. DYNA 2019, 86, 102-109.

APA

Granillo-Macias, R., Gonzalez Hernandez, I. J., Martinez-Flores, J. L., Caballero-Morales, S. O. & Olivarez-Benitez, E. (2019). Hybrid model to design a distribution network in contract farming. DYNA, 86(208), 102–109. https://doi.org/10.15446/dyna.v86n208.72056

ABNT

GRANILLO-MACIAS, R.; GONZALEZ HERNANDEZ, I. J.; MARTINEZ-FLORES, J. L.; CABALLERO-MORALES, S. O.; OLIVAREZ-BENITEZ, E. Hybrid model to design a distribution network in contract farming. DYNA, [S. l.], v. 86, n. 208, p. 102–109, 2019. DOI: 10.15446/dyna.v86n208.72056. Disponível em: https://revistas.unal.edu.co/index.php/dyna/article/view/72056. Acesso em: 23 mar. 2026.

Chicago

Granillo-Macias, Rafael, Isidro Jesus Gonzalez Hernandez, Jose Luis Martinez-Flores, Santiago Omar Caballero-Morales, y Elias Olivarez-Benitez. 2019. «Hybrid model to design a distribution network in contract farming». DYNA 86 (208):102-9. https://doi.org/10.15446/dyna.v86n208.72056.

Harvard

Granillo-Macias, R., Gonzalez Hernandez, I. J., Martinez-Flores, J. L., Caballero-Morales, S. O. y Olivarez-Benitez, E. (2019) «Hybrid model to design a distribution network in contract farming», DYNA, 86(208), pp. 102–109. doi: 10.15446/dyna.v86n208.72056.

MLA

Granillo-Macias, R., I. J. Gonzalez Hernandez, J. L. Martinez-Flores, S. O. Caballero-Morales, y E. Olivarez-Benitez. «Hybrid model to design a distribution network in contract farming». DYNA, vol. 86, n.º 208, enero de 2019, pp. 102-9, doi:10.15446/dyna.v86n208.72056.

Turabian

Granillo-Macias, Rafael, Isidro Jesus Gonzalez Hernandez, Jose Luis Martinez-Flores, Santiago Omar Caballero-Morales, y Elias Olivarez-Benitez. «Hybrid model to design a distribution network in contract farming». DYNA 86, no. 208 (enero 1, 2019): 102–109. Accedido marzo 23, 2026. https://revistas.unal.edu.co/index.php/dyna/article/view/72056.

Vancouver

1.
Granillo-Macias R, Gonzalez Hernandez IJ, Martinez-Flores JL, Caballero-Morales SO, Olivarez-Benitez E. Hybrid model to design a distribution network in contract farming. DYNA [Internet]. 1 de enero de 2019 [citado 23 de marzo de 2026];86(208):102-9. Disponible en: https://revistas.unal.edu.co/index.php/dyna/article/view/72056

Descargar cita

CrossRef Cited-by

CrossRef citations5

1. Gabriel Bayá, Eduardo Canale, Sergio Nesmachnow, Franco Robledo, Pablo Sartor. (2022). Production Optimization in a Grain Facility through Mixed-Integer Linear Programming. Applied Sciences, 12(16), p.8212. https://doi.org/10.3390/app12168212.

2. Gabriel Bayá, Pablo Sartor, Franco Robledo, Eduardo Canale, Sergio Nesmachnow. (2022). Smart Cities. Communications in Computer and Information Science. 1555, p.101. https://doi.org/10.1007/978-3-030-96753-6_8.

3. Juan-Carlos Muyulema-Allaica, Jean-Carlos Rodríguez-Balón. (2023). Redes de distribución con transbordo como elemento de resiliencia empresarial: una revisión sistemática. Revista Científica, 47(2), p.39. https://doi.org/10.14483/23448350.20430.

4. Rafael Granillo-Macías. (2021). Logistics optimization through a social approach for food distribution. Socio-Economic Planning Sciences, 76, p.100972. https://doi.org/10.1016/j.seps.2020.100972.

5. Ana Esteso, M. M. E. Alemany, Fernando Ottati, Ángel Ortiz. (2023). System dynamics model for improving the robustness of a fresh agri-food supply chain to disruptions. Operational Research, 23(2) https://doi.org/10.1007/s12351-023-00769-7.

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